MATLAB Scripts to Partition Multivariate Sedimentary Geochemical Data Sets

Nicklas G. Pisias & Richard W. Murray
This contribution provides MATLAB scripts to assist users in factor analysis, constrained least squares regression, and total inversion techniques. These scripts respond to the increased availability of large datasets generated by modern instrumentation, for example, the SedDB database. The download (.zip) includes one descriptive paper (.pdf) and one file of the scripts and example output (.doc).

3 Related Works

Supplement to Multivariate statistical analysis and partitioning of sedimentary geochemical data sets: General principles and specific MATLAB scripts

Nicklas G. Pisias, Rachel P. Scudder & Richard W. Murray
We present here annotated MATLAB scripts (and specific guidelines for their use) for Q-mode factor analysis, a constrained least squares multiple linear regression technique, and a total inversion protocol, that are based on the well-known approaches taken by Dymond (1981), Leinen and Pisias (1984), Kyte et al. (1993), and their predecessors. Although these techniques have been used by investigators for the past decades, their application has been neither consistent nor transparent, as their code has...

Supplement to Multivariate statistical analysis and partitioning of sedimentary geochemical data sets: General principles and specific MATLAB scripts

Nicklas G. Pisias, Richard W. Murray & Rachel P. Scudder

MATLAB Scripts to Partition Multivariate Sedimentary Geochemical Data Sets

Nicklas G. Pisias & Richard W. Murray
This contribution provides MATLAB scripts to assist users in factor analysis, constrained least squares regression, and total inversion techniques. These scripts respond to the increased availability of large datasets generated by modern instrumentation, for example, the SedDB database. The download (.zip) includes one descriptive paper (.pdf) and one file of the scripts and example output (.doc).

Resource Types

  • Dataset
    3

Publication Year

  • 2014
    2
  • 2012
    1

Registration Year

  • 2014
    2
  • 2012
    1

Data Centers

  • LDEO - Lamont-Doherty Earth Observatory, Columbia University
    3